Development of a Cross Platform Mobile Application Using Gemini to Assist Visually Impaired Individuals

This article presents the development of a cross-platform mobile application using the Google’s Gemini Generative Artificial Intelligence in Flutter, aimed at providing support to people with visual impairments in understanding visual content. The application leverages mobile computing technologies to offer an accessible and intuitive experience, allowing users to obtain real-time image descriptions or from the gallery. Addition- ally, it integrates the Google Gemini artificial intelligence model, which utilizes computer vision techniques to generate contextual descriptions of images. The article describes the architecture of the application, the main components of its implementation, and configuration of the model, as well as the challenges faced during the development process. Ultimately, it seeks to understand the benefits of using Gemini and ways to configure and receive the new model from Google via API.(Abstract)

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Publication Details

Published
2024-11-21
DOI
https://doi.org/10.1109/iciibms62405.2024.10792854
Citations
1
Primary Topic
Tactile and Sensory Interactions
Type
article
Field-Weighted Citation Impact
0.34
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article

Development of a Cross Platform Mobile Application Using Gemini to Assist Visually Impaired Individuals

Jean Mário Moreira de Lima, Guilherme Hermes, Francisco Willem R. Moreira
1 citations
Tactile and Sensory Interactions
0.34
article

Development of a Cross Platform Mobile Application Using Gemini to Assist Visually Impaired Individuals

Jean Mário Moreira de Lima, Guilherme Hermes, Francisco Willem R. Moreira
article en
1 citations

Abstract

This article presents the development of a cross-platform mobile application using the Google’s Gemini Generative Artificial Intelligence in Flutter, aimed at providing support to people with visual impairments in understanding visual content. The application leverages mobile computing technologies to offer an accessible and intuitive experience, allowing users to obtain real-time image descriptions or from the gallery. Addition- ally, it integrates the Google Gemini artificial intelligence model, which utilizes computer vision techniques to generate contextual descriptions of images. The article describes the architecture of the application, the main components of its implementation, and configuration of the model, as well as the challenges faced during the development process. Ultimately, it seeks to understand the benefits of using Gemini and ways to configure and receive the new model from Google via API.(Abstract)

Instituto Federal do Rio Grande do Norte (BR), Universidade Federal do Rio Grande do Norte (BR)
Openalex Percentile: Top 38%
Tactile and Sensory Interactions
0.34
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